A function to define Gaussian priors for eta. This function simply stores a vector of means and standard deviations to be passed to the main MCMC function, survspat.
the prior mean, a vector of length 1 or more. 1 implies a common mean.
the prior standard deviation, a vector of length 1 or more. 1 implies a common standard deviation.
an object of class "etapriorGauss"
survspat, betapriorGauss, omegapriorGauss, etapriorGauss, indepGaussianprior, derivindepGaussianprior
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